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» Learning Models for Object Recognition
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ALT
2008
Springer
15 years 11 months ago
Computational Models of Neural Representations in the Human Brain
Abstract For many centuries scientists have wondered how the human brain represents thoughts in terms of the underlying biology of neural activity. Philosophers, linguists, cogniti...
Tom M. Mitchell
IBPRIA
2005
Springer
15 years 7 months ago
Mathematical Morphology in Polar-Logarithmic Coordinates. Application to Erythrocyte Shape Analysis
We present in this paper the application of mathematical morphology operators through a transformation of the Cartesian image into another geometric space, i.e. pol-log image. The ...
Miguel A. Luengo-Oroz, Jesús Angulo, George...
107
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ICIAR
2004
Springer
15 years 7 months ago
Visual Cortex Frontend: Integrating Lines, Edges, Keypoints, and Disparity
Abstract. We present a 3D representation that is based on the processing in the visual cortex by simple, complex and end-stopped cells. We improved multiscale methods for line/edge...
João Rodrigues, J. M. Hans du Buf
SLSFS
2005
Springer
15 years 7 months ago
Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
Amit Gruber, Yair Weiss
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
15 years 5 months ago
Evolving ensemble of classifiers in random subspace
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...